Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics (2016)

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1、SpringerThesesRecognizingOutstandingPh.D.ResearchTakahiroNemotoPhenomenologicalStructurefortheLargeDeviationPrincipleinTime-SeriesStatisticsAMethodtoControltheRareEventsinNon-equilibriumSystemsSpringerThesesRecognizingOutstandingPh.D.ResearchAimsandScopeTheseries“SpringerTheses”bringstogethera

2、selectionoftheverybestPh.D.thesesfromaroundtheworldandacrossthephysicalsciences.Nominatedandendorsedbytworecognizedspecialists,eachpublishedvolumehasbeenselectedforitsscientificexcellenceandthehighimpactofitscontentsforthepertinentfieldofresearch.Forgreateraccessibilitytonon-specialists,thepubli

3、shedversionsincludeanextendedintroduction,aswellasaforewordbythestudent’ssupervisorexplainingthespecialrelevanceoftheworkforthefield.Asawhole,theserieswillprovideavaluableresourcebothfornewcomerstotheresearchfieldsdescribed,andforotherscientistsseekingdetailedbackgroundinformationonspecialquesti

4、ons.Finally,itprovidesanaccrediteddocumentationofthevaluablecontributionsmadebytoday’syoungergenerationofscientists.Thesesareacceptedintotheseriesbyinvitednominationonlyandmustfulfillallofthefollowingcriteria•TheymustbewritteningoodEnglish.•ThetopicshouldfallwithintheconfinesofChemistry,Physics,

5、EarthSciences,EngineeringandrelatedinterdisciplinaryfieldssuchasMaterials,Nanoscience,ChemicalEngineering,ComplexSystemsandBiophysics.•Theworkreportedinthethesismustrepresentasignificantscientificadvance.•Ifthethesisincludespreviouslypublishedmaterial,permissiontoreproducethismustbegainedfromther

6、espectivecopyrightholder.•Theymusthavebeenexaminedandpassedduringthe12monthspriortonomination.•Eachthesisshouldincludeaforewordbythesupervisoroutliningthesignifi-canceofitscontent.•Thethesesshouldhaveaclearlydefinedstructureincludinganintroductionaccessibletoscientistsnotexpertinthatparticularfie

7、ld.Moreinformationaboutthisseriesathttp://www.springer.com/series/8790TakahiroNemotoPhenomenologicalStructurefortheLargeDeviationPrincipleinTime-SeriesStatisticsAMethodtoControltheRareEventsinNon-equilibriumSystemsDoctoralThesisaccepted